Key Skills

Job Description

Data & AI adoption Intern – ING Global Investment Center 📍 Work location : Amsterdam | 🕒 Fulltime (36 uur) Your role At ING, we believe AI should solve real problems and create tangible value. As an AI Adoption Intern in the Data & AI team of the Global Investment Center (GIC), you will help identify, design and structure the AI use cases that matter most to the business, and help build more scalable, data-driven ways of working across markets. You will work with business stakeholders to understand what problem AI should solve, what data, knowledge and systems it needs, and how it fits into the way people already work. Together with the teams who build and run these solutions, you will turn promising ideas into clear, well-defined use cases. The role also has a strong hands-on data side. You will work with data from across the organisation, help prepare and organise it, and turn it into insights that support better decisions. This is not a software engineering internship. It suits someone who is analytical, comfortable with data, good at bringing structure to open-ended problems, and curious about how AI can change the way a global organisation works. The team The Global Investment Center is at the heart of ING's ambition to build a single, scalable investment engine across markets. To support this, the GIC brings together expertise, information and capabilities from across ING's markets, so they can be shared and used more widely. You will join the Data & AI team, which works across the whole GIC to make this happen through better use of data, analytics and AI. Key Responsibilities AI use-case design Identify and structure AI use cases across the investment value chain Work with business teams to define the problem, the expected value and whether AI is the right fit Describe what each solution should achieve, who will use it, and what data, knowledge and systems it needs Translate selected use cases into clear business requirements and help shape the GIC's AI roadmap Data analysis and preparation Work hands-on with data from different sources across the organisation Help prepare, structure and improve the quality of data for analysis and AI use cases Analyse data and translate findings into clear, practical insights Build visualisations and dashboards that make information easy to understand Knowledge and information for AI Help understand what information AI solutions need, and what is already available Contribute to organising information so AI tools can use it effectively Work with subject-matter experts to make sure AI solutions meet users' needs How To Succeed We are looking for someone who combines analytical thinking, comfortable with data and genuine curiosity about AI: Currently enrolled in a Master's programme in AI, Data Science, Econometrics, Engineering, Business Analytics, Finance & Technology, or a similar field Hands-on experience cleaning, structuring, analysing and visualising data, using tools such as Excel, Python, SQL or Power BI A strong interest in applying AI to real business problems, beyond purely technical modelling Curiosity about generative AI and AI agents, including how to judge the quality of their outputs Able to bring structure to ambiguous, complex problems and take ownership of open-ended work Comfortable working with people from different professional and technical backgrounds, and translating between business needs and data or AI concepts Strong communication skills in English, written and spoken What We Offer A front-row seat to AI and data transformation in ING's global investment organisation Meaningful work on real business challenges and strategic decisions, not side projects Variety: you will work across AI, data, analytics and investments rather than in one narrow discipline Exposure to senior professionals across the organisation Your own work laptop and hybrid working: at home for focus, in the office for collaboration An informal, learning-focused environment with room to shape your own thinking and deliverables During the internship, you must be enrolled at a Dutch university, or at an EU university if you hold an EU passport. About Our Internships Every year, more than 350 students join ING's internship programme. While there are no guarantees, many of our former interns move into a permanent role or join our International Talent Program. Interested? Upload your CV and motivation letter via the 'Apply' button.

Core Responsibilities

Identify and define AI use cases with business stakeholders, translating business problems into requirements and contributing to the GIC's AI roadmap. Prepare and analyze organizational data, create visualizations and dashboards, and help organize information for AI solutions.

Requirements

Applicants must be enrolled in a relevant master's program and have hands-on experience cleaning, structuring, analyzing, and visualizing data using tools such as Excel, Python, SQL, or Power BI. They should be curious about practical AI applications, able to structure ambiguous problems, collaborate across professional backgrounds, and communicate effectively in English.

Benefits

• Work Laptop
• Hybrid Working
• Learning-Focused Environment
• Exposure to Senior Professionals